Using Compartments to Model Drug Delivery from Biodegradable Polymers

Using Compartments to Model Drug Delivery from Biodegradable Polymers

Bibliografske podrobnosti
Parent link:Journal of Pharmaceutical Sciences
Vol. 111, iss. 11.— 2022.— [P. 3096-3107]
Korporativna značnica: Национальный исследовательский Томский политехнический университет Инженерная школа ядерных технологий Научно-образовательный центр Б. П. Вейнберга
Drugi avtorji: Marriott R., Spiridonova T. I. Tatjyana Igorevna, Tverdokhlebov S. I. Sergei Ivanovich, Anisimov Yu. G. Yury German
Izvleček:Title screen
Polymeric drug delivery systems can improve patient compliance, decrease toxicity and prolong therapeutic effects for a wide range of therapeutic treatments, by controlling drug release. Polymer delivery system development can be facilitated by mathematical models. We present here a new compartmental model that will be more familiar to pharmaceutical professionals and equally as effective as common diffusion equation-based models. The compartmental model considers both polymer degradation and drug diffusion to predict drug release. The model is adapted into three different geometries for different polymer delivery scenarios: membranes, fibres and particles. Model parameters are derived in terms of diffusion coefficients. Polymer-drug binding interactions and distributions of fibre/particle diameters are incorporated to the model. The model is validated by comparison to common diffusion equation-based solutions and fitting to experimental data. It is shown how the model for drug release can be incorporated into existing distribution models to predict plasma concentrations of an in vivo administration. A user-friendly Python implementation of the model is available on Github, at https://github.com/spirt-t/compartments_model
Jezik:angleščina
Izdano: 2022
Teme:
электронный ресурс
труды учёных ТПУ
Online dostop:https://doi.org/10.1016/j.xphs.2022.07.008
Format: Elektronski Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=668677

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